perf: réécriture nox-memory.js avec node fetch natif (sans Playwright)

nox-memory.js

@@ -1,18 +1,17 @@
 #!/usr/bin/env node
 /**
  * nox-memory.js — Mémoire vectorielle de Nox via Qdrant
+ * Utilise node fetch (Node 22+) + OpenAI embeddings
  *
  * Usage:
- *   node nox-memory.js add "texte à mémoriser" --type fact --tags "ha,lumiere" --importance 3
+ *   node nox-memory.js add "texte" --type fact --tags "ha,lumiere" --importance 3
- *   node nox-memory.js search "question en langage naturel" --limit 5
+ *   node nox-memory.js search "question naturelle" [--limit 5] [--type fact]
  *   node nox-memory.js list [--type fact] [--limit 20]
  *   node nox-memory.js delete <id>
- *   node nox-memory.js import-md <fichier.md>  ← importe MEMORY.md
+ *   node nox-memory.js import-md <fichier.md>
  *   node nox-memory.js stats
  */
 
-const { chromium } = require('./node_modules/playwright');
-
 const QDRANT_URL  = 'http://192.168.1.150:6333';
 const COLLECTION  = 'nox-memory';
 const OPENAI_URL  = 'https://api.openai.com/v1/embeddings';
@@ -21,17 +20,18 @@ const EMBED_DIM   = 1536;
 
 // ─── Helpers ──────────────────────────────────────────────────────────────────
 
-async function getRequestContext() {
+async function qdrant(method, path, body) {
-  const browser = await chromium.launch({
+  const opts = {
-    executablePath: '/home/node/.cache/ms-playwright/chromium-1208/chrome-linux64/chrome',
+    method,
-    args: ['--no-sandbox', '--disable-gpu', '--disable-dev-shm-usage']
+    headers: { 'Content-Type': 'application/json' }
-  });
+  };
-  const context = await browser.newContext();
+  if (body) opts.body = JSON.stringify(body);
-  return { browser, req: context.request };
+  const r = await fetch(`${QDRANT_URL}${path}`, opts);
+  return r.json();
 }
 
 async function embed(text) {
-  const res = await fetch(OPENAI_URL, {
+  const r = await fetch(OPENAI_URL, {
     method: 'POST',
     headers: {
       'Content-Type': 'application/json',
@@ -39,13 +39,12 @@ async function embed(text) {
     },
     body: JSON.stringify({ model: EMBED_MODEL, input: text })
   });
-  const json = await res.json();
+  const json = await r.json();
   if (!json.data) throw new Error('Embedding failed: ' + JSON.stringify(json));
   return json.data[0].embedding;
 }
 
 function genId() {
-  // UUID v4 simplifié
   return 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, c => {
     const r = Math.random() * 16 | 0;
     return (c === 'x' ? r : (r & 0x3 | 0x8)).toString(16);
@@ -55,8 +54,6 @@ function genId() {
 // ─── Commandes ────────────────────────────────────────────────────────────────
 
 async function cmdAdd(text, opts) {
-  const { browser, req } = await getRequestContext();
-  try {
   const vector = await embed(text);
   const id = genId();
   const payload = {
@@ -67,25 +64,19 @@ async function cmdAdd(text, opts) {
     timestamp:  Date.now(),
     date:       new Date().toISOString()
   };
-    const r = await req.put(`${QDRANT_URL}/collections/${COLLECTION}/points`, {
+  const res = await qdrant('PUT', `/collections/${COLLECTION}/points`, {
-      data: { points: [{ id, vector, payload }] }
+    points: [{ id, vector, payload }]
   });
-    const body = await r.json();
+  if (res.status === 'ok') {
-    if (body.status === 'ok') {
     console.log(`✅ Mémorisé [${id}]`);
     console.log(`   type: ${payload.type} | importance: ${payload.importance} | tags: ${payload.tags.join(', ') || 'aucun'}`);
     console.log(`   "${text.slice(0, 80)}${text.length > 80 ? '...' : ''}"`);
   } else {
-      console.error('❌ Erreur:', JSON.stringify(body));
+    console.error('❌ Erreur:', JSON.stringify(res));
-    }
-  } finally {
-    await browser.close();
   }
 }
 
 async function cmdSearch(query, opts) {
-  const { browser, req } = await getRequestContext();
-  try {
   const vector = await embed(query);
   const limit = parseInt(opts.limit || '5');
   const body = {
@@ -97,8 +88,7 @@ async function cmdSearch(query, opts) {
   if (opts.type) {
     body.filter = { must: [{ key: 'type', match: { value: opts.type } }] };
   }
-    const r = await req.post(`${QDRANT_URL}/collections/${COLLECTION}/points/search`, { data: body });
+  const res = await qdrant('POST', `/collections/${COLLECTION}/points/search`, body);
-    const res = await r.json();
   const results = res.result || [];
   if (results.length === 0) {
     console.log('🔍 Aucun résultat pertinent trouvé.');
@@ -113,21 +103,15 @@ async function cmdSearch(query, opts) {
     console.log(`     ${pl.text}`);
     console.log(`     ID: ${p.id}\n`);
   });
-  } finally {
-    await browser.close();
-  }
 }
 
 async function cmdList(opts) {
-  const { browser, req } = await getRequestContext();
-  try {
   const limit = parseInt(opts.limit || '20');
   const body = { limit, with_payload: true };
   if (opts.type) {
     body.filter = { must: [{ key: 'type', match: { value: opts.type } }] };
   }
-    const r = await req.post(`${QDRANT_URL}/collections/${COLLECTION}/points/scroll`, { data: body });
+  const res = await qdrant('POST', `/collections/${COLLECTION}/points/scroll`, body);
-    const res = await r.json();
   const points = res.result?.points || [];
   if (points.length === 0) { console.log('📭 Collection vide.'); return; }
   console.log(`📋 ${points.length} souvenir(s) :\n`);
@@ -135,45 +119,26 @@ async function cmdList(opts) {
     const pl = p.payload;
     console.log(`• [${pl.type}|${pl.importance}] ${pl.date?.slice(0,10)} — ${pl.text?.slice(0,100)}${pl.text?.length>100?'...':''}`);
   });
-  } finally {
-    await browser.close();
-  }
 }
 
 async function cmdDelete(id) {
-  const { browser, req } = await getRequestContext();
+  const res = await qdrant('POST', `/collections/${COLLECTION}/points/delete`, { points: [id] });
-  try {
+  console.log(res.status === 'ok' ? `🗑️  Point ${id} supprimé.` : `❌ Erreur: ${JSON.stringify(res)}`);
-    const r = await req.post(`${QDRANT_URL}/collections/${COLLECTION}/points/delete`, {
-      data: { points: [id] }
-    });
-    const body = await r.json();
-    console.log(body.status === 'ok' ? `🗑️  Point ${id} supprimé.` : `❌ Erreur: ${JSON.stringify(body)}`);
-  } finally {
-    await browser.close();
-  }
 }
 
 async function cmdStats() {
-  const { browser, req } = await getRequestContext();
+  const res = await qdrant('GET', `/collections/${COLLECTION}`);
-  try {
+  const info = res.result;
-    const r = await req.get(`${QDRANT_URL}/collections/${COLLECTION}`);
-    const body = await r.json();
-    const info = body.result;
   console.log('📊 Collection nox-memory :');
   console.log(`   Points    : ${info.points_count}`);
-    console.log(`   Vecteurs  : ${info.vectors_count}`);
   console.log(`   Segments  : ${info.segments_count}`);
   console.log(`   Statut    : ${info.status}`);
-    console.log(`   Dim.      : ${EMBED_DIM} (${EMBED_MODEL})`);
+  console.log(`   Modèle    : ${EMBED_MODEL} (${EMBED_DIM} dims)`);
-  } finally {
-    await browser.close();
-  }
 }
 
 async function cmdImportMd(file) {
   const fs = require('fs');
   const text = fs.readFileSync(file, 'utf8');
-  // Découper en sections par ## ou ### ou lignes non vides significatives
   const chunks = [];
   let current = '';
   for (const line of text.split('\n')) {
@@ -185,19 +150,15 @@ async function cmdImportMd(file) {
     }
   }
   if (current.trim()) chunks.push(current.trim());
-  
   const valid = chunks.filter(c => c.length > 20);
   console.log(`📥 Import de ${valid.length} chunks depuis ${file}...`);
-  
   for (let i = 0; i < valid.length; i++) {
-    const chunk = valid[i];
     process.stdout.write(`  [${i+1}/${valid.length}] `);
     try {
-      await cmdAdd(chunk, { type: 'semantic', importance: '4', tags: 'memory.md,import' });
+      await cmdAdd(valid[i], { type: 'semantic', importance: '4', tags: 'memory.md,import' });
     } catch(e) {
       console.error('Erreur:', e.message);
     }
-    // Pause pour éviter rate limit OpenAI
     await new Promise(r => setTimeout(r, 300));
   }
   console.log('\n✅ Import terminé !');
@@ -208,8 +169,6 @@ async function cmdImportMd(file) {
 async function main() {
   const args = process.argv.slice(2);
   const cmd  = args[0];
-  
-  // Parser les options --key value
   const opts = {};
   const positional = [];
   for (let i = 1; i < args.length; i++) {
@@ -248,21 +207,20 @@ async function main() {
       console.log(`
 nox-memory — Mémoire vectorielle (Qdrant + OpenAI embeddings)
 
-Commandes :
   add "texte"        Ajouter un souvenir
     --type           fact | semantic | preference | episodic  (défaut: fact)
     --tags           "tag1,tag2"
     --importance     1-5  (défaut: 3)
 
   search "query"     Recherche sémantique
-    --limit          Nombre de résultats (défaut: 5)
+    --limit          Résultats (défaut: 5)
     --type           Filtrer par type
 
   list               Lister les souvenirs
     --limit          Nombre (défaut: 20)
     --type           Filtrer par type
 
-  delete <id>        Supprimer un point par ID
+  delete <id>        Supprimer un point
   stats              Stats de la collection
   import-md <file>   Importer un fichier Markdown
 `);